code: def random_action(self):
      action = np.random.uniform(
          self.lbound, self.rbound, self.nb_actions
      )
      # self.a_t = action
      return action
  
imports: import numpy
  import torch
  import torch.nn
  from torch.optim import Adam
  from .memory import SequentialMemory
  from .utils import to_numpy, to_tensor
label_desc: Use image node_id 6 for calling the DDPG obj's underlying member method code with example usage: obj.random_action() and returns: action